Of more than 300 billion emails sent every day, at least half are spam. Email providers have the huge task of filtering out spam and making sure their users receive the messages that matter. Spam ...

Bayesian filtering is one of the most effective and intelligent solutions to combat spam email nowadays. Spam is a problem faced by all email users and it shows no sign of slowing down anytime soon; ...

We suspect that you had more than enough mathematics in the form of Bayes Theorem last week so this week we’ll explain how it’s used in what is called Bayesian filtering to remove spam (note that the ...

Bayesian spam filtering is based on Bayes rule, a statistical theorem that gives you the probability of an event. Bayesian filtering is used to give you the probability that a certain email is spam. 2 ...

Achieving a 98%+ spam detection rate using a mathematical approach This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...